Latest AI and machine learning research in fda general for healthcare professionals.
Antiphospholipid syndrome (APS) lacks disease-modifying targeted therapies, and its molecular heterogeneity remains poorly characterized. We employed an integrative systems pharmacology approach combining weighted gene co-expression network analysis (WGCNA), single-cell RNA sequencing, Connectivity Map (CMap) screening, and molecular docking to prioritize candidate therapeutic targets in APS. WGCN...
Law enforcement tactical training places sustained cognitive and emotional demands on recruits, making stress regulation a critical determinant of learning and performance. This study examined EDA as an objective index of stress regulation during standardized law enforcement scenarios. Objectives were to 1) predict individual change in tactical performance from electrodermal dynamics, 2) test whet...
BACKGROUND: The US Food and Drug Administration (FDA) has authorized AI-enabled and machine learning (ML)-enabled medical devices since 1995 and maint...
Randomized controlled trials (RCTs) underpin evidence-based medicine, but a growing proportion of trials contain implausible, inaccurate, or fabricate...
OBJECTIVES: To evaluate the suitability of three major open-access ICU databases (Medical Information Mart for Intensive Care IV [MIMIC-IV], eICU Coll...
OBJECTIVE: Emotion regulation influences psychological responses to trauma, with event-related rumination affecting the development of posttraumatic s...
ETHNOPHARMACOLOGICAL RELEVANCE: Antimicrobial resistance (AMR) in livestock is a critical One Health challenge, particularly in low- and middle-income...
INTRODUCTION: Transparency has emerged as a foundational condition for trustworthy Artificial Intelligence (AI) in healthcare. Despite its centrality,...
PURPOSE: This study examined generative artificial intelligence (AI) as an emerging cognitive assistive technology for adults with dyslexia. Specifica...
The laminar nature of blood flow and the resulting boundary layer pose substantial challenges for transverse mass transport in blood vessels, limiting...
Health care providers are among the most trusted professionals, and they are rapidly adapting to AI integration in medicine. Authors Hou et al reviewe...
Deep-sea imagery is a non-destructive tool for monitoring seafloor litter, but manual inspection limits its scalability. DeepLitterAI, a YOLOv11x-base...
INTRODUCTION: Fracture misdiagnosis is a common diagnostic error in emergency departments (EDs) and minor injury units (MIUs), leading to poor patient...
BackgroundChronic rhinosinusitis with nasal polyps (CRSwNP) is a heterogeneous inflammatory disease with variable response to biologic therapy. Tissue...
BACKGROUND: Electrographic flow (EGF) mapping is an FDA 510(k)-cleared method for visualizing atrial activation wavefronts in atrial fibrillation (AF)...
Oral drug delivery is preferred for patient compliance, but it's challenging for biologics and sensitive therapeutics due to the harsh gastrointestina...
The FDA Modernization Act has accelerated the transition from animal-based testing toward human-relevant new approach methodologies in drug developmen...
Soil salinity poses a major threat to global food security, impairing plant physiology through ionic toxicity, osmotic stress, and oxidative damage. H...
The Piezo1 channel is a mechanosensitive, non-selective cation channel that converts mechanical forces into electrochemical signals, playing pivotal r...
Based on the principles of engineering reconstruction and programmable design, synthetic biology is driving a paradigm shift in biomedical diagnosis a...